The increasing computational requirements of next-generation Cloud and High-Performance Computing (HPC) applications are pushing the adoption of accelerated computing based on heterogeneous architectures into mainstream, as traditional CPU technology is unable to keep pace. FPGA accelerators complement CPU-based architectures and deliver significant performance and power efficiency improvements. In this regard, Xilinx FPGAs are now available on the Amazon Elastic Compute Cloud (EC2) F1 instances, which are designed to accelerate data center workloads, including machine learning inference, data analytics, video processing, and genomics. Amazon Web Services offers the Xilinx SDAccel Development Environment for cloud acceleration, enabling the user to easily and productively develop accelerated algorithms and then efficiently implement and deploy them onto the heterogeneous CPU-FPGA system. This tutorial introduces the development framework, platform, the use cases, and offers hand-on experience on the following topics: